Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
A skill your agent uses when debugging a failed Prow CI job.
$ npx skills add openshift-eng/ai-helpers --skill prow-job-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openshift-eng/ai-helpers prow-job-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ci/skills/prow-job-analysis .claude/skills/prow-job-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "prow-job-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/prow-job-analysis into .claude/skills/prow-job-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prow-job-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/prow-job-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add openshift-eng/ai-helpers --skill prow-job-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openshift-eng/ai-helpers prow-job-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ci/skills/prow-job-analysis .agents/skills/prow-job-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prow-job-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/prow-job-analysis into .agents/skills/prow-job-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prow-job-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openshift-eng/ai-helpers --skill prow-job-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openshift-eng/ai-helpers prow-job-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ci/skills/prow-job-analysis .cursor/skills/prow-job-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prow-job-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/prow-job-analysis into .cursor/skills/prow-job-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prow-job-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/openshift-eng/ai-helpers.git --path plugins/ci/skills/prow-job-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add openshift-eng/ai-helpers --skill prow-job-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openshift-eng/ai-helpers prow-job-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ci/skills/prow-job-analysis .gemini/skills/prow-job-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prow-job-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/prow-job-analysis into .gemini/skills/prow-job-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prow-job-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install openshift-eng/ai-helpers prow-job-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add openshift-eng/ai-helpers --skill prow-job-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ci/skills/prow-job-analysis .github/skills/prow-job-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prow-job-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/prow-job-analysis into .github/skills/prow-job-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prow-job-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openshift-eng/ai-helpers --skill prow-job-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openshift-eng/ai-helpers prow-job-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ci/skills/prow-job-analysis .opencode/skills/prow-job-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prow-job-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci/skills/prow-job-analysis into .opencode/skills/prow-job-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prow-job-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
prow-job-analysisA skill your agent uses when debugging a failed Prow CI job.
Prow Job Analysis is an agent skill from openshift-eng/ai-helpers. Use this skill when debugging a failed Prow CI job.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including reference files (for example `prow_job_artifact_search.py`, `references/aggregated.md` and `references/artifacts.md`).
It sits in Development. The repository describes itself as: Developer productivity tools for Claude Code & other AI assistants. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit a627176. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
gcloudFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
prow.ci.openshift.orggcsweb-ci.apps.ci.l2s4.p1.openshiftapps.comstorage.googleapis.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Prow Job Analysis loads about 2.8k tokens when it runs, and up to ~114k if it reads all its reference files. Until then it costs about 17 tokens; SKILL.md has 1,050 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from openshift-eng/ai-helpers at commit a627176, republished under its Apache-2.0 licence (© openshift-eng). 1,050 words, ~2,826 tokens.
.claude/skills/prow-job-analysis/SKILL.md (or your agent's skills folder). This skill also uses 17 other files; get the full folder from GitHub.Analyze failures in OpenShift Prow CI jobs. Identify the job type, inspect artifacts, classify the failure, and route to the specialized reference for deep analysis.
The user will provide:
Prow job URL (required) — Prow UI or gcsweb URL
https://prow.ci.openshift.org/view/gs/test-platform-results-public/logs/<job>/<build_id>https://gcsweb-ci.apps.ci.l2s4.p1.openshiftapps.com/gcs/test-platform-results-public/...Test name (optional) — specific failed test to focus on
Flags (optional):
--backends <list> — focus disruption analysis on specific backendswhich python3which jqwhich gcloud — fastest access to the
public bucket (no auth required). Without it, every artifact operation works over
plain HTTPS: prow_job_artifact_search.py
(stdlib-only list/search/fetch) or curl against
https://storage.googleapis.com/test-platform-results-public/..../view/gs/<bucket>/ (Prow UI) or /gcs/<bucket>/ (gcsweb) in the URL.
Any non-empty bucket segment is accepted.build_id — pattern
(\d{10,}) in the path.gs://{bucket}/{bucket-path}/ using the URL bucket
as-is, including prow-artifact-archive. A private bucket will 403.Use the fetch-prowjob-json skill to get job metadata. Extract:
.spec.job--target= in ci-operator args.status.state.spec.refsParse the job name to determine the environment and expected failure modes:
| Pattern in Name | Job Type | Key Implications |
|---|---|---|
upgrade | Upgrade job | Installs first, then upgrades — see upgrade reference |
metal, baremetal | Bare metal | Uses dev-scripts + Metal3/Ironic — see metal install reference |
hypershift | HyperShift | Hosted control planes — see hypershift reference |
fips | FIPS-enabled | Watch for crypto/TLS errors |
ipv6, dualstack | IPv6/dualstack | Often disconnected, uses mirror registry |
single-node, sno | Single-node | Resource exhaustion more likely |
aggregated- prefix | Aggregated | Statistical analysis of multiple runs — see aggregated reference |
aws, gcp, azure | Cloud platform | Platform-specific errors — see cloud provider reference |
techpreview | Tech preview | Feature gates enabled, features may be unstable |
rhcos9, rhcos10, rhcos9_10, rt | RHCOS variant / RT kernel | OS variant pinned or heterogeneous; OS-level differences (kernel/systemd/SELinux) — see operating system changes reference |
mkdir -p .work/prow-job-analysis/{build_id}/logs
# Build log (always)
gcloud storage cp gs://{bucket}/{bucket-path}/build-log.txt \
.work/prow-job-analysis/{build_id}/logs/ --no-user-output-enabled
# JUnit XML (always — identifies failed tests/steps)
gcloud storage ls "gs://{bucket}/{bucket-path}/artifacts/**/junit*.xml" 2>/dev/null
# Node journals (always, when the job created a cluster) — required input for the
# Step 5 OS-layer check. Gzip-compressed WITHOUT a .gz extension: zcat/zgrep only.
gcloud storage cp -r \
"gs://{bucket}/{bucket-path}/artifacts/{target}/gather-extra/artifacts/nodes" \
.work/prow-job-analysis/{build_id}/ --no-user-output-enabled 2>/dev/null || trueExamine the build log and JUnit results to classify the failure, then consult the appropriate reference file for detailed analysis procedures.
Operating-system (RHCOS) layer breakage frequently masquerades as an unrelated product failure: a single RHCOS bump swaps the kernel, cri-o, systemd, NetworkManager, and SELinux policy across the whole cluster at once, so the real cause surfaces as a symptom in some other domain. Before selecting a row from the routing table, complete BOTH steps:
1. Compare runtime versions across boots in the node journals (downloaded in
Step 4; gzip-compressed without a .gz extension — plain grep silently matches
nothing, use zcat/zgrep):
# Runtime versions per boot. End-of-run snapshots (oc_cmds/nodes, nodes.json)
# show only the final version; changes within the run are visible only here.
zgrep -hE "Starting CRI-O, version|Container runtime initialized" \
.work/prow-job-analysis/{build_id}/nodes/*/journal | sort | uniq -c2. Scan the build log, JUnit, oc_cmds (node / clusteroperator status),
MachineConfig data, and the journals for these signals:
NetworkPluginNotReady, or a missing CNI config (/etc/cni/net.d empty / no CNI plugin)ContainerRuntimeVersion change on nodes (cri-o version bump between runs)passwd, files, or unitsNotReady after a rebootCreateContainerError, RunContainerError, or OCI runtime errors (crun / runc)panic, BUG, Oops, or soft lockup in node journals or the serial consoleavc: denied / SELinux denialsIf step 1 shows more than one runtime version on any node, or any step-2 signal is present, the RHCOS layer is implicated: still route via the table below using whichever reference matches the surface symptom, but also read operating-system-changes.md alongside it. Never clear the OS layer from end-of-run snapshots alone.
| Failure Signal | Reference | When to Use |
|---|---|---|
install should succeed fails in JUnit | Install — General | Install failed at config/infra/bootstrap/cluster-creation/operator-stability stage |
| Metal/baremetal job + install failure | Install — Metal | Bare-metal install (dev-scripts, Metal3/Ironic, libvirt) — use alongside Install — General |
| A test failed (start here) | Flaky Test Identification | Triage entry for any failing test: classify infra vs product regression vs flake, then route onward |
| Confirmed regression in a plain e2e test | Test Failure Root-Cause | Root-cause a real product regression in a plain (non-extension/install/upgrade) e2e test — e.g. [sig-network] ... should serve endpoints: test source, cluster state, originating error |
*-tests-ext extension binary error | Test Extension Binaries | OTE extension-binary extraction/discovery/version-skew failures — not core openshift-tests |
| Disruption events in intervals | Disruption | API backends stopped responding; interpret interval/timeline data (cause vs symptom vs noise) |
| Upgrade-phase failure or regression | Upgrade | CVO stuck, operators degraded, MCO drain/reboot stalls, or version skew during upgrade |
| HyperShift / HCP job failure | HyperShift | Hosted control planes — correlate management and hosted clusters |
aggregated- job failure | Aggregated Jobs | Statistical regression analysis across parallel child runs |
| Cloud API errors, quota, throttling | Cloud Provider Errors | AWS/GCP/Azure API/quota/provisioning failures before/during cluster creation |
| Node NotReady, OOM, disk pressure | Resource Exhaustion | CPU/memory/disk/PID/etcd exhaustion, eviction, unschedulable pods |
| DNS, OVN, registry/pull, ingress errors | Networking | OVN-Kubernetes/SDN, DNS, image pull/registry, load balancer/ingress, network policy |
| Container-start (cri-o), kernel panic, NetworkManager, RHCOS variant-isolated failure | Operating System Changes | Node OS (RHCOS) layer — cri-o/crun, kernel, systemd, NetworkManager, SELinux, or an RHCOS bump in the payload |
| Lease/quota, ci-operator, Prow infra | CI Infrastructure | Distinguish "product broke" from "CI config changed"; ci-operator, step registry, leases |
| Need a specific artifact file | Artifacts | Artifact directory structure, paths, and gcloud fetch commands |
Job-name routing (Step 3) picks which reference to read. Failure classification (install | test | upgrade | infra) follows the root cause, not the job name.
These are the most frequently needed artifacts. See artifacts reference for the complete directory structure.
| Path | Description |
|---|---|
build-log.txt | Top-level ci-operator log |
artifacts/{target}/openshift-e2e-test/build-log.txt | E2E test console log |
artifacts/{target}/openshift-e2e-test/artifacts/junit/ | JUnit XML results |
artifacts/{target}/openshift-e2e-test/artifacts/junit/e2e-timelines_spyglass_*.json | Disruption timeline data |
artifacts/{target}/gather-extra/artifacts/oc_cmds/ | Cluster state snapshots |
artifacts/{target}/gather-extra/artifacts/pods/ | Pod logs by namespace |
artifacts/{target}/gather-extra/artifacts/audit_logs/ | API server audit logs |
artifacts/{target}/gather-must-gather/artifacts/must-gather.tar | Must-gather archive |
prowjob.json | Job metadata and timing |
Both formats are accepted and interchangeable:
# Prow UI
https://prow.ci.openshift.org/view/gs/test-platform-results-public/logs/{job}/{build_id}
# gcsweb (direct GCS browser)
https://gcsweb-ci.apps.ci.l2s4.p1.openshiftapps.com/gcs/test-platform-results-public/logs/{job}/{build_id}Use the bucket from Step 1 as named in the URL (test-platform-results-public
or prow-artifact-archive when the URL names it).
prowjob.json for timing, payload tag, and whether the job timed out.work/prow-job-analysis/{build_id}/ as the working directory for downloads© openshift-eng, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 17 other files (references) in plugins/ci/skills/prow-job-analysis of openshift-eng/ai-helpers.
Open the folder on GitHubat commit a627176
Prow Job Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prow Job Analysis this skillopenshift-eng/ai-helpers | 120 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Composition Patternssupabase/supabase | 111k | 58 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
openshift-eng/ai-helpers
Find and independently validate actionable reliability defects across OpenShift release jobs and presubmits, then export portable issue handoffs.
openshift-eng/ai-helpers
Fetch and address all PR review comments — categorize by priority, make code changes, post replies, and push.
openshift-eng/ai-helpers
Categorize Jira issues into Red Hat Sankey Activity Type categories using MCP Jira tools.
openshift-eng/ai-helpers
Decide whether a GitHub PR has unanswered authorized review comments or new required CI failures worth a follow-up agent.
openshift-eng/ai-helpers
Analyze OpenShift must-gather diagnostic data including cluster operators, pods, nodes, and network components.
openshift-eng/ai-helpers
Schema for the autodl JSON data file produced by payload-analysis for database ingestion — you must use this skill whenever generating the autodl JSON file
Categories
A skill your agent uses when debugging a failed Prow CI job. Prow Job Analysis is an agent skill from openshift-eng/ai-helpers. Use this skill when debugging a failed Prow CI job.
Prow Job Analysis fits situations like: debugging a failed Prow CI job.
Run `npx skills add openshift-eng/ai-helpers --skill prow-job-analysis -a claude-code`. Or copy the skill folder (plugins/ci/skills/prow-job-analysis in openshift-eng/ai-helpers) into .claude/skills/prow-job-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openshift-eng/ai-helpers --skill prow-job-analysis -a codex`. Or copy the skill folder (plugins/ci/skills/prow-job-analysis in openshift-eng/ai-helpers) into .agents/skills/prow-job-analysis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openshift-eng/ai-helpers --skill prow-job-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prow-job-analysis, .gemini/skills/prow-job-analysis, .github/skills/prow-job-analysis and .opencode/skills/prow-job-analysis in your project.
Going by SKILL.md and its folder, Prow Job Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (gcloud). Our summary lists: Python 3.
SKILL.md names 3 domains. In commands or code: prow.ci.openshift.org, gcsweb-ci.apps.ci.l2s4.p1.openshiftapps.com and storage.googleapis.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Prow Job Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 111k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Prow Job Analysis: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
openshift-eng (a GitHub organization) maintains it in openshift-eng/ai-helpers, which has 120 GitHub stars. The repository holds 118 skills in this directory. The repository was last updated on October 6, 2026.
Source: openshift-eng/ai-helpers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.